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Machine Learning Models for Predicting Surfactant-Enhanced Oil Removal from Contaminated Soil

  The remediation of oil-contaminated soil is a critical environmental challenge, and surfactant-enhanced oil recovery (SEOR) has emerged as an effective method for improving hydrocarbon removal. Recent advances in machine learning (ML) have enabled more accurate predictions of SEOR efficiency, allowing researchers to optimize surfactant type, concentration, and soil conditions for maximum oil extraction. ML models, including decision trees, random forests, support vector machines, and neural networks, analyze complex interactions between soil properties, contaminant characteristics, and surfactant behavior. By leveraging historical data and experimental results, these models can forecast removal rates under various scenarios, reducing the need for costly and time-consuming laboratory trials. The integration of ML in SEOR not only enhances remediation performance but also contributes to sustainable soil management by minimizing chemical usage and environmental impact. Hashtags: #...

Study on soil pressure of loose soil in cohesive soil tunnel considering soil arch effect

  The study on soil pressure of loose soil in cohesive soil tunnels considering the soil arch effect focuses on understanding how stress is redistributed around underground openings. In mixed ground conditions, where loose soil is embedded within cohesive strata, the natural formation of soil arches significantly influences lateral and vertical load transfer. By analyzing how arch-shaped stress paths reduce the direct pressure on tunnel supports, researchers can better predict deformation, optimize lining design, and improve the safety of underground structures. The interaction between material properties, overburden depth, and tunnel geometry plays a crucial role in determining the extent and efficiency of the soil arch effect in mitigating soil pressure. Hashtags: #SoilPressure #SoilArchEffect #CohesiveSoil #TunnelEngineering #GeotechnicalResearch #UndergroundConstruction #StressDistribution #SoilMechanics #GroundStability #TunnelSafety Visit : https://soilscientists.org/ ...

Characterization of nutrient leaching of non-amended and amended bioretention cells

  Bioretention cells play a vital role in urban stormwater management, but their efficiency in retaining nutrients depends heavily on the use of soil amendments. In non-amended bioretention systems, nutrient leaching—particularly nitrogen and phosphorus—can be substantial due to limited adsorption capacity and rapid percolation through the soil matrix. This often results in the unintended release of nutrients into underlying groundwater or nearby water bodies, contributing to eutrophication risks. Conversely, amended cells, incorporating materials such as biochar, compost, zeolite, or iron-rich substrates, enhance nutrient retention through improved cation exchange capacity, increased organic matter, and chemical binding mechanisms. These amendments not only reduce leachate concentrations but also support microbial processes that aid in nutrient transformation and immobilization. Evaluating the nutrient profiles, leachate volume, and long-term retention performance of amended versu...

Optimizing Geothermal Energy Pile Layout to Reduce Ground Temperature Fluctuations

  Designing an efficient layout for geothermal energy piles is crucial to maintaining thermal stability in the surrounding soil. By strategically spacing the piles and optimizing their depth and orientation, engineers can reduce thermal interference between adjacent piles and prevent excessive ground temperature variations. Incorporating thermal conductivity data, soil stratification, and seasonal heat exchange demand into the layout planning ensures that the system performs efficiently over long periods. Advanced modeling and simulation tools help predict heat transfer patterns and guide the placement of piles to balance energy extraction with subsurface temperature conservation. Moreover, hybrid configurations—such as alternating active and passive piles or integrating thermal breaks—can further reduce cumulative heating or cooling effects. This approach not only enhances system performance but also protects groundwater ecosystems and maintains structural integrity. Through data-...

Vegetation measures influence the distribution of antibiotic resistance genes and soil health risk on sloping land

  Vegetation restoration on sloping land plays a crucial role in regulating the distribution of antibiotic resistance genes (ARGs) and mitigating soil health risks. Plant cover reduces erosion, stabilizes the soil structure, and enhances organic matter input, which collectively influence the soil microbial community and ARG dynamics. Deep-rooted vegetation improves soil aggregation and moisture retention, creating conditions less conducive to the proliferation and horizontal transfer of ARGs. Additionally, different vegetation types—such as grasses, shrubs, or mixed forest systems—exert varying effects on microbial diversity, nutrient cycling, and pollutant adsorption, ultimately shaping the resistome composition. Vegetation buffers runoff and reduces the migration of ARGs to downstream environments, lowering ecological and public health risks. By improving soil enzyme activity, carbon sequestration, and nutrient status, vegetation measures not only suppress ARG propagation but als...

Critical Factors for Regulation of Flowering Time and Grain Yield in Rice

  Regulation of flowering time and grain yield in rice is governed by a complex interplay of genetic, hormonal, and environmental factors. Key flowering genes such as Hd1 , Ehd1 , RFT1 , and Hd3a coordinate responses to photoperiod and temperature, ensuring timely transition from vegetative to reproductive growth. Phytohormones like gibberellins and auxins further influence floral initiation and spikelet development. Environmental factors, including day length, temperature, and nutrient availability, also modulate gene expression and developmental timing. Agronomic practices such as fertilizer management, planting density, and water availability indirectly affect flowering duration and panicle formation, which in turn influence grain yield. Additionally, modern breeding and CRISPR-based gene editing target flowering-related genes to develop high-yield, climate-resilient rice varieties. Understanding these regulatory pathways is essential to optimize flowering time and enhance prod...

Sustainable integrated oil-palm livestock practice to enhance soil organic matter

  Integrating livestock with oil-palm cultivation represents a sustainable land management strategy that enhances soil health and carbon sequestration potential. By allowing controlled grazing within oil-palm plantations, livestock contribute organic residues through manure deposition and biomass recycling, enriching soil organic matter and improving nutrient cycling. This integration reduces dependence on chemical fertilizers, minimizes greenhouse gas emissions, and promotes biodiversity within plantation ecosystems. The interaction between animal activity and palm residues enhances microbial processes, leading to improved soil structure, water retention, and long-term carbon stabilization. Moreover, adopting integrated oil-palm–livestock systems supports circular bioeconomy principles, ensuring both agricultural productivity and environmental sustainability while advancing climate-smart agricultural goals. #SustainableAgriculture #OilPalmIntegration #LivestockManagement #SoilOrg...